Change log
08 November 2016 - Mike Steglich
	CMPL v.1.11.1 has been released

		Coliop4 (4.0.1)
			Some changes were necessary for mac OS Sierra compatibility.

		Cmpl (1.11.1)
			Some minor bugs are fixed.


08 June 2016 - Mike Steglich
	CMPL v.1.11.0 has been released

		Coliop4 (4.0.0)
			Coliop4 is the new GUI for CMPL available on Window, Linux and Mac.
			It is more comfortable and flexible and comes with syntax highlighting. 
			Since Coliop4 is written in C++ and QT5 Java is not longer necessary as 
			runtime environment.

		CMPLServer and CmplGrid (1.3.2)
			There was a problem in the handling of infeasible problems that is now fixed.
			Some minor changes due to the integration with SolverStudio 
			A couple of bottlenecks were identified and cleaned.

		pyCmpl (1.4.6)
			Some minor changes due to the integration with SolverStudio 
			new method Cmpl.setModel to specify the Cmpl model as a string w/o a model file
			new method Cmpl.setOutputToString to write CMPL's and solver's output into a 
			string that can be obtained with Cmpl.output() 
			A couple of bottlenecks were identified and cleaned.

		jCmpl (1.2.1)
			To run run CMPL with jCMPL the environment variable CMPLBINRAY has to be 
			specified to CmplHome/cmpl (Linux and Mac) or 
			CmplHome/cmpl.bat (Windows). 


		Cmpl (1.11)
			readCsv() - A bug in reading vectors from a csv file is fixed.
			Several minor problems with n-tuples are fixed.

		Coliop3 (3.1.22)	
			A bug in printing the solution is fixed.
			A minor bug in saving new files is fixed.

		Installation 
			An installation is not longer necessary. The entire CMPL package runs now 
			out of the box in every directory.



June 28 2014 - Mike Steglich
	CMPL v.1.10.0 has been released

		CMPLServer and CmplGrid (1.3.0)
			CMPLGrid 
				A CMPLServer can now be used in a single server mode or in a grid mode.

				The grid mode extends the single server mode by coupling CMPLServers from several locations and at 
				least one coordinating CMPLGridScheduler to one "virtual CMPLServer" as a grid computing system. 
				For the client there does not appear any difference whether there is a connection to a single 
				CMPLServer or to a CMPLGrid. The client's model is to be connected with the same functionalities 
				as for a single CMPLServer to a CMPLGridScheduler which is responsible for the load balancing 
				within the CMPLGrid and the assignment of the model to one of the connected CMPLServers. 
				After this step the client is automatically connected to the chosen CMPLServer and the 
				model can be solved synchronously or asynchronously. 

				A CMPLGrid should be used for handling a huge amount of large scale optimisation problems. 
				An example can be a simulation in which each agent has to solve its own optimisation problem at 
				several times. An additional example for such a CMPLGrid application is an optimisation 
				web portal that provides a huge amount of optimisation problems.

			Problem waiting queues for CMPLServer and CMPLGridScheduler
				If a problem is connected to a CMPLServer or a CMPLGridScheduler and the number of running problems 
				including the model sent is greater than number of problems that can be solved 
				simultaneously (defined in cmplServer.opt) it does not make sense to cancel the problem. 
				Especially in case of an iterating solving process with a couple of depending problems 
				it is the better way to refer the supernumerary problems automatically to the problem waiting queue.

				For the single server mode the problem queue handling is organised by the CMPLServer 
				whilst in the grid mode the CMPLGridScheduler(s) is(are) responsible for it. In both modes 
				a problem stored in the problem waiting queue has to wait until an empty solving 
				slot is available or the maximum queuing time is reached.

			Changes in CMPLServer script:
				Usage: cmplServer   [] [-showLog] 
				command:
				   -start           - starts as single CMPLServer 
				   -startInGrid     - starts CMPLServer and connects to CMPLGrid
				   -startScheduler  - starts as CMPLGridScheduler
				   -stop            - stops CMPLServer or CMPLGridScheduler 
				   -status          - returns the status of the CMPLServer or CMPLGridScheduler 
				port                - defines CMPLServer's or CMPLGridScheduler's port 
				-showLog            - shows the CMPLServer or CMPLGridScheduler log file (only Mac and Linux)

			New arguments and changes in cmplServer.opt:
				maxProblems = 		
					Defines how many problems can be carried out simultaneously. 
					If more problems than maxProblems are connected with the 
					CMPLServer the supernumerary problems are assigned to the problem waiting queue	
			
				maxServerTries = 
					Since CMPLGridSchedulers and CMPLServers have to call server functions mutually 
					it is necessary to ensure a high availability and failover by repeating failed CMPLServer 
					calls whereby the number of tries are specified by the parameter maxServerTries.
			
				serviceIntervall = 	
					Time in seconds between to iterations of the CMPLServer service thread

				schedulerServiceIntervall =  
					Time in seconds between to iterations of the CMPLGridScheduler service thread

				performanceIndex = 		
					Assuming heterogeneous hardware for the CMPLServers in a CMPLGrid it is necessary 
					for a reasonable load balancing to identify several performance levels of the invoked 
					CMPLServers. This can be done by the parameter performanceIndex that influences the 
					load balancing function directly. 

				solvers =  [ ...] 
					Specifies which solvers in the set of the installed solvers can be provided by the CMPLServer. 

				cmplGridScheduler =  
					Specifies the CMPLGridScheduler to which the CMPLServer is to be connected. 
					The first argument is the URL of the scheduler. The second parameter defines 
					the maximum number of problems that the CMPLServer provides to this CMPLGridScheduler. 
					If a CMPLServer should be connected to more than one scheduler one entry per 
					CMPLGridScheduler is required. 	


			An error for the exception handling in CMPLServer.send and CMPLServer.runSolver was fixed.

		pyCMPL (v.1.3.0) and jCMPL (v.1.2.0) 
			For both APIs the CMPLServer client is expanded for the new CMPLGrid mode and the problem waiting queue.

		CMPL (1.10.0)
			New command line arguments due to the new CMPLServer modes:
				-maxServerTries      : maximum number of tries of failed CmplServer calls
				-maxQueuingTime      : maximum time in  seconds that a problem waits in a CmplServer queue

			Cmpl script for Mac, Linux and Windows - some minor changes due to the new CMPLServer modes

			CmplHeader - % sign don't have to stay at the first position of a line

			A bug of CBC option handling is fixed.

			Minor changes in CmplSolutions XML format for compatibility reasons in the  sections
				INF instead Infinity 
				NaN instead "-" 

			The XSD schemes are now available in the manual and under coliop.org/schemes

		Coliop (1.20)	
			The message pipe handling for stdout and stderr is changed for performance reasons.


March 1 2014 - Mike  Steglich
	CMPL v.1.9.0 has been released
		jCMPL (v.1.0)
			jCMPL is the CMPL API for Java. 

			As pyCMPL - the main idea of this API is to define sets and parameters within the user application, 
			to start and control the solving process and to read the solution(s) into the application if the problem is feasible. 

			All variables, objective functions and constraints are defined in CMPL. 

			These functionalities can be used with a local CMPL installation or a CMPLServer.

		CMPL (v.1.9.0)	
			- Direct access to a CMPLServer by the new command line argument -cmplUrl  
				Most of the command line arguments used for a local CMPL installation can be used

			- OSServer is not longer supported - therefore the command line argument -solverUrl is now an unknown argument

			- CBC handling is now faster and less memory consuming because Cmpl communicates now directly to CBC 	

			- readcsv
				A vector now can be read as a row with n elements or n rows with one element. In booth cases a 
				column vector is created.

			- Time used for generating and solving a model is now shown on the command line

			- A filename for the Cmpl header arguments %arg -solution, %arg -solutionAscii and %arg -solution 
				can now enclosed in double quotation marks.

			- Changed command line syntax - the first argument is now the cmplFile. 
				Usage: cmpl  [options]  

			- MPS file handling of constraints with type N (e.g. inactive objective functions) 
				These constraints or inactive objective function are committed as constraints with type "G" and an lower 
				bound equal to negative infinity. This behaviour avoids the deletion by solver preprocessing and as 
				result these constraints or inactive objective function can be shown in the solution reports.

			- Some minor bugs are fixed.

		pyCMPL (v.1.2.0)
			- Most of the CMPL command line arguments can now used with to a CMPLServer 

			- Additional methods Cpml.getVarByName(self, name, solNr=0) and Cpml.getConByName(self, name, solNr=0) to obtain 
			  variables and contraints directly by their name. 

			- embarrassing spelling mistake - CmplMsg.describtion is changed to CmplMsg.description

		CMPLServer (v.1.2.0)
			- Version and compatibility check for CMPLServer clients 

			- New options that can be defined in the new pyCmpl option file (CMPLhome/pyCmpl/pyCmpl.opt):
				- maxProblems - Maximum number of problems that can be solved in parallel (default 8)
				- maxInactivityTime - Inactivity time (in seconds) after that a problem is removed from the CMPLServer (default 60*60*12)
				- port - Port of the CMPLServer  (default 8008)

			- new class CmplInfo to support the transfer of some CMPL statistics and the generated matrix

			- Some minor bugs are fixed.

		Coliop (1.19)
			- Some minor changes to enable an access to a CMPLServer. 


June 20 2013 - Mike Steglich
	CMPL v.1.8.0 has been released
		pyCMPL and CMPLServer	
			pyCMPL is the CMPL API  for Python and an interactive shell. 

			The main idea of this API is to define sets and parameters within the user application, 
			to start and control the solving process and to read the solution(s) into the application if the problem is feasible. 
			All variables, objective functions and constraints are defined in CMPL. 
			These functionalities can be used with a local CMPL installation or a CMPLServer.

			CMPLServer is an XML-RPC-based web service for distributed optimization.
			It is reasonable to solve large models remotely on the CMPLServer that is installed on a high performance system.
			pyCMPL provides a client API for CMPLServer. CMPL provides three XML-based file formats for the communication 
			between a CMPLServer and its clients. (CmplInstance, CmplSolutions, CmplMessages)

			pyCMPL and CMPLServer are an open source projects licensed under LGPLv3 and  available for most of the relevant operating systems (Windows, OS X and Linux)

		New CMPL command line arguments
			-interRelaxation 	: All integer variables are changed to continuous variables
			-alias   	: uses an alias name for the cmpl model
			-solution []      : optimization results in CmplSolutions XML format 

		Changed CMPL command line argument
			-gn   			: turns matrix reductions on (default off) 

		New display options 
			-ignoreVars		: Ignores all variables in the solution reports
			-ignorevars		: Ignores all constraints in the solution reports

		MPrL XML format is changed into the CmplMessages XML format (CMPL does not longer support MPrL)

		New solution XML format CmplSolutions 

		Bug fixing
			A bug for readcsv() that only appeared under Windows is fixed



November 15 2012 - Mike Steglich, Thomas Schleiff
	CMPL v.1.7.1 has been released
		set pattern matching
			set *> [tuppelPattern]
			Returns an n-tuple set consisting of unique elements of the set set which match tuplePattern
			in order of their first appearance. A tuplePattern have to be formulated in the form of a 
			tuple and has to have the same rank as the original set.

		solutionPool
			Gurobi and Cplex are able to generate and store multiple solutions to a mixed integer programming 
			(MIP) problem. With the display option solutionPool feasible integer solutions found during a MIP 
			optimization can be shown in the solution report. It is recommended to control the behaviour of 
			the solution pool by setting the particular Gurobi or Cplex solver options.

		Bug fixing
			Some minor bugs in the handling of tuples are fixed.	

July 5 2012 - Mike Steglich, Thomas Schleiff
	CMPL 1.7.0 has been released
		cmplData file and new CMPL header entry %data
			A cmplData file is a plain text file that contains the definition of parameters, sets with 
			their values in a specific syntax. The parameters and sets can be read into a CMPL model by 
			using the new CMPL header entry %data.

		Indices and sets for n-tuples with n>1
			An index is always an n-tuple, where n is the count of dimensions of an array. Since this version
			is it possible to define and use sets for n-tuples with n>1. 

		New command line argument -syntax
			Syntax checks can be carried out with or without data. If the parameters and sets are specified 
			within the parameter section it is only necessary to use the command line argument ­-syntax or 
			the CMPL header option %arg ­syntax. 
			If a user wants to execute a syntax check without data then a CMPL header entry %data has 
			to be defined including a complete specification of the sets and parameters that are necessary 
			for the model. 

		Bug fixing
			A bug in the handling of set intersection was fixed.
			Due to different Java installation on Win32 and Win64 the file coliop.bat has been changed. 

March 19 2012 - Mike Steglich
	CMPL 1.6.2 has been released
		CPLEX support:
			CPLEX can be executed directly by CMPL if the entry CplexFileName 
			in the file /bin/cmpl.opt is edited. 

		New command line argument -ignoreZeros
			If chosen then only variables and constraints with non-zero values are shown
			in the solution reports.

		New CMPL header element %display:
			Sets variable name(s) or constraint name(s) that are to be displayed in 
			one of the solution reports. 

		Changes in solution report handling
			Due to the new arguments -ignoreZero and %display it was necessary to change 
			cfResult::standardReport(int outtype) and cfResult::writeCsv()
			and to create the new private methods:   
			custReport(int outType) and custWriteCsv();		

		Solution Reports
			The structure of the solution reports (stdio, ascii, csv) has been changed a little bit.  

March 1 2012 - Mike Steglich
	CMPL 1.6.1 has been released
		SCIP support:
			SCIP can be used for mixed integer programming (MIP) problems. 
			If SCIP is installed on the same computer as CMPL then SCIP 
			can be connected to CMPL by changing the entry ScipFileName 
			in the file /bin/cmpl.opt. 

		Command line argument handling:
			Some minor changes
			Now it is possible to enclose the file name with double quotes if
			the path and/or the file name contains blanks. 
		Gurobi handling
			changes in gurobiCmpl.py, gurobiPython and CmplIO.cc,  CmplIO.cc
			The entries in cmpl.opt are not longer necessary to execute Gurobi 

January 26 2012 - Mike Steglich
	CMPL 1.6.0 has been released

	CMPL is fundamentally reorganized and partially new created. 
		New classes:
			cmplUtil::CmplArgs 	 	handling of the CMPL command line arguments
									handling of the CMPL header
			cmpl::CmplCore			CMPL's core (compiler and interpreter)
									transforms the CMPL model in a model instance
			cmplUtil::CmplInstance	handling of the generated model instance
									writes the instance files (OSiL, MPS, Free-MPS)
			cmplUtil::CmplIO		interaction with the solvers
									writes the standard solution reports to 
									stdout, to an ASCII file or a CSV file
			cmplUtil::CmplIOStream	handling of the solver stdout and stderr
			cmplUtil::CmplException	handling of the CmplIO exceptions
			cmplUtil::ArgError		handling of the CmplArgs exceptions

	Due to these reorganizations the CMPL performance is considerably increased. 

	New features: 
		CMPL header
			A CMPL header is intended to define CMPL options and solver options for 
			the specific CMPL model. The elements of the CMPL header are not part 
			of the CMPL model. Since a CMPL header is processed before the CMPL model is 
			interpreted, the defined options have an impact on the CMPL model. 

			Most of the CBC, GLPK and Gurobi solver parameters now supported by the CMPL
			header element %opt.

		GLPK and Gurobi support
			Beside the COIN-OR OSSolverService the GLPK is a part of the distribution. 
			If you have installed Gurobi then you can also use this solver directly. 

		count() - 	new array function 
					returns the count of elements or 0 if the parameter or the 
					variable does not exist	
					replaces the deprecated dim() and def()

	New command line arguments
		-maxDecimals  		- maximal number of decimals in the solution report (max 12)
		-dontRemoveTmpFiles		- Don't remove temporary files (mps,osil,osrl,gsol)
		-matrix []		- Writes the generated matrix in a file or on stdout.

	Coliop
		The CMPL distribution contains now Coliop which is an (simple) IDE for CMPL. 
		Coliop is an open source project licensed under GPL. It is written in Java. The sources are
		available under www.coliop.org.

	COIN-OS (customized - only CLP, CBC, Symphony) and GLPK are parts of the distribution now.

	Test routines are extended by some solver tests.  

May 23 2011 - Mike Steglich 
	CMPL 1.5.2 has been released

	Install script are changed for linux and OS X.
	The scripts downloads the OSSolverService binary from www.coin-or.org/download/binary/OS/OSSolverService/ 
	and installs it in a different folder to CMPL.


April 2011 - Mike Steglich 
	CMPL 1.5.1 has been released

	New command line argument:
	-solutionAscii      : 	optimization results in ASCII format 
						A file .sol will be created.

	some bugs are fixed in cmplFrame::readOsil 

March 20 2011 - Mike Steglich 
	CMPL 1.5.0 has been released

	Direct connection to the COIN-OR OSSolverService including the COIN-OR solvers
	via two new classes: cmplFrame and eCmpl 

	cmplFrame is the common class to handle the connection between CMPL and 
	OSSolverService. cmplFrame uses the Qt4 framework
	eCmpl is a class to include the cmplFrame environment into the CMPL core.

	All changes to the existing code are embedded in 
	#ifdef SOLVERSERVICE	
	#endif

	A new build environmet using qmake and make was created.
	./cmplMake  


March 08 2011 - Mike Steglich 
	CMPL 1.4.4 has been released

	FileIO::io_write_dest_mps()
	New default for integers variables w/o an upper bound is set to infinity.

	FileIO::io_write_dest_xml()
	New default for variables w/o an upper bound is set to -infinity.

February 16 2011 - Mike Steglich / T. Schleiff 
	CMPL 1.4.3 has been released

	IntFuncBase::insert_ind_elem()
	A bug was fixed.

	Main::c_getmem(size_t len)
	A bug was fixed.

	CMPL_Scanner.l, IntFuncMathFunc::exec(val_str *vp)
	New CMPL function srand( int x)


November 2010 -  T. Schleiff 
	CMPL 1.4.2 has been released

	The code base was changed from C to C++

May 2010 -  Mike Steglich / T. Schleiff 
	CMPL 1.3.2 has been released

	FileIO::io_write_dest_xml()
	New output format OSiL 

	CMPL_Scanner.l, IntFuncMathFunc::exec(val_str *vp)
	New mathematical functions